Improving the Speed of a Class of Single Frequency Estimation Algorithms

Recently, a class of recursive algorithms for single frequency estimation has been developed based on the rotate-add-decimate (RAD) method. The computational bottleneck of the RAD approach is the calculation of the arctangent function required to create a frequency estimate at the end of each recurs...

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Bibliographische Detailangaben
1. Verfasser:	Reinking, J.T.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Additive white noise Discrete Fourier transforms Frequency estimation Iterative methods Maximum likelihood estimation Performance gain Radar signal processing Recursive estimation Signal processing algorithms Springs
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Beschreibung
Zusammenfassung:	Recently, a class of recursive algorithms for single frequency estimation has been developed based on the rotate-add-decimate (RAD) method. The computational bottleneck of the RAD approach is the calculation of the arctangent function required to create a frequency estimate at the end of each recursion. This work demonstrates speed gains are possible with minimal loss in mean squared-error (MSE) performance by deferring accuracy in the calculation of the arctangent function until the final recursion.
DOI:	10.1109/TPSD.2007.4380389